TY - GEN
T1 - Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication
AU - Dudy, Shiran
AU - Bedrick, Steven
N1 - Publisher Copyright:
© 2018 Association for Computational Linguistics
PY - 2018
Y1 - 2018
N2 - Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication. Typically, icon-based systems have lagged behind word- and character-based systems in terms of predictive typing functionality, due to the challenges inherent to training icon-based language models. We propose a method for synthesizing training data for use in icon-based language models, and explore two different modeling strategies.
AB - Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication. Typically, icon-based systems have lagged behind word- and character-based systems in terms of predictive typing functionality, due to the challenges inherent to training icon-based language models. We propose a method for synthesizing training data for use in icon-based language models, and explore two different modeling strategies.
UR - http://www.scopus.com/inward/record.url?scp=85122012868&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85122012868&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85122012868
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 25
EP - 32
BT - ACL 2018 - Deep Learning Approaches for Low-Resource Natural Language Processing, DeepLo 2018 - Proceedings of the Workshop
PB - Association for Computational Linguistics (ACL)
T2 - ACL 2018 Workshop on Deep Learning Approaches for Low-Resource Natural Language Porcessing, DeepLo 2018
Y2 - 19 July 2018
ER -